{"id":109682,"date":"2022-07-12T10:00:36","date_gmt":"2022-07-12T04:30:36","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=109682"},"modified":"2022-07-12T10:12:39","modified_gmt":"2022-07-12T04:42:39","slug":"azure-functions","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/azure-functions\/","title":{"rendered":"Azure Functions"},"content":{"rendered":"

Azure Functions are the trending method in the field of Cloud Computing and DevOps as it helps to minimize the workload of developers. With the help of Azure functions, the developers do not have to worry about the backend resources.<\/p>\n

They are easily working on the development. So, in this article, we will learn about Azure Functions in detail. Let us begin.<\/p>\n

What is Azure Function?<\/h3>\n

Azure Function is a serverless compute solution that lets users run event-triggered code without having to worry about provisioning or managing infrastructure.<\/p>\n

As a trigger-based service, it responds to a range of events by running a script or piece of code.<\/p>\n

Decoupling, high throughput, reusability, and sharing are all possible with Azure Functions. It can also be utilized in production environments because it is more reliable.<\/p>\n

Scalability is a feature of Azure functions. When the number of requests for execution increases, new resources are automatically allocated to the service, and when the number of requests decreases, all extra resources and application instances are automatically decommissioned.
\nSmaller apps with events that can work independently of other websites are best suited for Azure functions.<\/p>\n

Sending emails, beginning backups, order processing, job scheduling such as database clean-up, sending notifications, messages, and IoT data processing are all frequent Azure functions.<\/p>\n

Difference Between Azure Functions vs Web Jobs<\/h3>\n

A web job is a piece of code that runs in Azure App Services. It’s a Cloud Service that’s used to carry out background tasks.
\nAzure Functions are built on top of Azure Web Jobs and provide additional functionality. The table below shows how Azure Functions and Web Jobs differ:<\/p>\n\n\n\n\n\n\n
\u00a0<\/b><\/td>\nAzure Functions<\/b><\/td>\nWeb Jobs<\/b><\/td>\n<\/tr>\n
Trigger<\/b><\/td>\nAzure Functions can be activated by any configured trigger, but they don’t operate indefinitely.<\/span><\/td>\nThere are two sorts of web jobs: triggered web jobs and continuous web jobs.<\/span><\/td>\n<\/tr>\n
Supported languages<\/b><\/td>\nC#, F#, JavaScript, node.js, and other languages are supported by Azure Functions.<\/span><\/td>\nWeb Jobs also supports a number of programming languages, including C#, F#, JavaScript, and others.<\/span><\/td>\n<\/tr>\n
Deployment<\/b><\/td>\nAzure Functions is a stand-alone App Service that runs under the App Service Plan.<\/span><\/td>\nWeb Jobs are background services that run in the background for App services such as Web Apps, API Apps, and mobile Apps.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Difference Between Azure Functions vs Logic Apps<\/h3>\n

An Azure Function is a code that is executed in response to an event, whereas an Azure Logic app is a process that is executed in response to an event.<\/p>\n

Azure Logic App allows you to easily define a workflow by using a variety of APIs as connectors. These connectors will carry out a set of tasks specified in the workflow.<\/p>\n

Durable Azure Functions, like Azure Logic Apps, may be used to define workflow in code structure.<\/p>\n\n\n\n\n\n\n\n
\u00a0<\/b><\/td>\nAzure Functions<\/b><\/td>\nAzure Logic Apps<\/b><\/td>\n<\/tr>\n
Trigger<\/span><\/td>\nHTTPTrigger, TimerTrigger, QueueTrigger, and other triggers can be used to start Azure Functions.<\/span><\/td>\nThe API as connectors can be used to activate Azure Logic Apps. A workflow can also include many triggers.<\/span><\/td>\n<\/tr>\n
Defining Workflow<\/span><\/td>\nAzure Durable Functions can be used to define workflow in Azure Functions. It is made up of an Orchestrator Function with a workflow specified by a number of Activity Functions.<\/span><\/td>\nWorkflow can be defined in Azure Logic Apps utilizing the Logic App Designer and multiple APIs as Connectors.<\/span><\/td>\n<\/tr>\n
Monitoring<\/span><\/td>\nApplication Insights and Azure Monitor can be used to monitor Azure Functions.<\/span><\/td>\nLog Analytics and Azure Monitor can be used to monitor Azure Logic Apps.<\/span><\/td>\n<\/tr>\n
Both Azure Function Apps and Logic Apps can be monitored with Serverless360.<\/span><\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Azure Function Runtime Versions<\/h3>\n

The versions of Azure Functions runtimes correspond to the major version of.NET. The following are the Azure Functions runtime versions and their.NET equivalents:<\/p>\n\n\n\n\n\n\n
Runtime Version<\/b><\/td>\nAvailability<\/b><\/td>\n.NET Version<\/b><\/td>\n<\/tr>\n
3.x<\/span><\/td>\nPreview<\/span><\/td>\n.NET Core 3.x<\/span><\/td>\n<\/tr>\n
2.x<\/span><\/td>\nGA<\/span><\/td>\n.NET Core 2.x<\/span><\/td>\n<\/tr>\n
1.x<\/span><\/td>\nGA<\/span><\/td>\n.NET Framework 4.6<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Azure Functions 2. x is now generally accessible, but Azure Functions 1. x is still in maintenance mode.<\/p>\n

Migrating from version 1. x to a later version is easy and straightforward, and it can be done right from the Azure portal.<\/p>\n

What is the maximum time that Azure Functions can run?<\/h3>\n

A single Azure Function run has a default time limit of 5 minutes for all Azure Functions. If the Function takes longer than the maximum timeout, the Azure Functions runtime has the ability to terminate the process at any point after the maximum timeout has been reached.<\/p>\n

What languages are supported by Azure Functions?<\/h3>\n

Multiple languages are supported by Azure Function, which is based on the Runtime versions.<\/p>\n

Functions 1.x:<\/h4>\n

C#, F#, and JavaScript are all supported in Azure Functions 1. x. Functions 1. x, on the other hand, is solely in maintenance mode.<\/p>\n

Functions 2.x:<\/h4>\n

C# (.NET Core 2.2), JavaScript (Node 8 & 10), F# (.NET Core 2.2), Java 8, PowerShell Core 6, Python 3.7.x, and Typescript are supported by Azure Functions 2.x.<\/p>\n

Functions 3.x:<\/h4>\n

C# (.NET Core 3.x), JavaScript (Node 8 & 10), F# (.NET Core 3.x), Java (Java 8), PowerShell Core 6, Python 3.7.x, and TypeScript are supported in Azure Functions 3.x (Preview).<\/p>\n

What Are the Techniques to Call an Azure Function?<\/h3>\n

When events from other services trigger Azure Functions, they can be called. Because the application platform is event-driven, it can run code that is triggered by events in any third-party service or on-premise system.<\/p>\n

Templates are available in Azure Functions to help you get started with common scenarios, such as the ones below:<\/p>\n

A. HTTPTrigger<\/h4>\n

An HTTP request can be used to start the execution of your code.<\/p>\n

B. TimerTrigger<\/h4>\n

Clean up or perform other batch operations on a set schedule.<\/p>\n

C. CosmosDBTrigger<\/h4>\n

When Azure Cosmos DB documents are added to or updated in collections in a NoSQL database, process them.<\/p>\n

D. BlobTrigger<\/h4>\n

When Azure Storage blobs are added to containers, process them. This function can be used to resize images.<\/p>\n

E. QueueTrigger<\/h4>\n

Respond to messages in an Azure Storage queue as they arrive.<\/p>\n

F. EventGridTrigger<\/h4>\n

Respond to events supplied to an Azure Event Grid subscription. Filtering is supported as part of a subscription-based model for receiving events. A nice way to create event-based structures.<\/p>\n

G. EventHubTrigger<\/h4>\n

React to events that are sent to an Azure Event Hub. In application instrumentation, user experience or workflow processing, and internet-of-things (IoT) contexts, it’s especially valuable.<\/p>\n

H. ServiceBusQueueTrigger<\/h4>\n

Using message queues, you can connect your code to other Azure services or on-premises services.<\/p>\n

I. ServiceBusTopicTrigger<\/h4>\n

Subscribing to topics allows you to connect your code to other Azure or on-premises services.<\/p>\n

Proxies<\/h3>\n

Users can have a consistent API endpoint for all Azure Functions used by external resources with Azure Function Proxies.<\/p>\n

The backend URL and HTTP Method are all that are required to build a proxy URL. It’s also possible to change the Proxy’s requests and responses. There are also complex setups available.<\/p>\n

Slots<\/h3>\n

Azure Functions can now execute in multiple instances thanks to Slots. The API given by the slots can expose the various environments of Functions to the public.<\/p>\n

When it comes to maintaining functions in various environments such as Production, Development, and Staging, Slots are the way to go.
\nThe Production environment will be linked to an instance, which may be swapped on demand. Swapping can be done via the Azure CLI or the portal.<\/p>\n

Challenges in Azure Functions 1.0<\/h3>\n